I just read Jensen Huang 's recent blog, AI Is a 5-Layer Cake and found his cake architecture super interesting and loved how he brilliantly breaks down the AI ecosystem into five essential layers - from energy and chips to infrastructure, models, and real-world applications. It’s not just a clever analogy; it’s a roadmap for how AI will continue to transform the world.

I have seen countless architecture diagrams in my life but instead of just compute, middleware and legacy applications, this architecture addresses bigger needs for the new world driven by AI. For e.g. we would never add Energy as a layer in an architecture stack; most we would do is have power/control functions as a small box in the architecture. The application layer of Agents, Robotics etc is how the new world will operate so Jensen's blog is very timely.

But here’s the thing - even the most perfect cake needs icing to make it complete. That’s where Qubrid AI comes in.

Why We See Ourselves as the Icing

Qubrid complements and enhances the layers, making AI faster, easier, and more reliable for enterprises and developers alike.

• Layer 4: Models - The models layer is where the magic happens, but the choices can be overwhelming. Open Source models such as Nemotron, Qwen, GPT-OSS, Kimi, Minimax, Deepseek and proprietary ones like Gemini and Claude combined with varying model sizes, types, gpu compute requirements etc make model access, deployment and continuous improvement very complex. Qubrid gives developers a unified, optimized platform with a single API to harness them all without getting bogged down in integration headaches.

• Layer 3: Infrastructure - Whether it’s on-prem, multi-cloud, or hybrid setup, running models efficiently is hard. Qubrid adds a layer of intelligent orchestration, helping teams maximize performance, minimize cost, and scale smoothly and in harmony with NVIDIA’s compute and GPU related software.

• Layer 5: Applications - This is where value actually materializes. Qubrid ensures AI can be embedded in real, mission-critical workflows, safely and securely and in production environments, so companies can focus on building agents and new SaaS applications rather than worrying about infrastructure.

• Layer 2: Chips - Qubrid AI runs on NVIDIA chips and orchestrates across B300, B200, H200, H100 and A100 GPUs. For private cloud deployment, Qubrid helps setup AI factories with the right chips for the right use cases.

• Layer 1: Energy - this layer actually depends on a number of factors - pretty much all of the layers above. From Liquid Cooled racks to monitoring, virtualization and gpu partitioning - all contribute directly to energy efficiency. Additionally, Qubrid optimizes its inference and orchestration stack so models are deployed on GPUs automatically across private or public clouds with maximum utilization and performance thereby reducing token waste which indirectly reduces energy spend.

Aligned with NVIDIA, Powered by Qubrid

As I get ready to head out to NVIDIA GTC. I feel so proud for Qubrid to be an NVIDIA partner. That’s not just a badge - it reflects how Qubrid is aligned with NVIDIA’s vision of AI at every layer. From leveraging NVIDIA GPUs for ultra-fast inferencing to supporting developers in building reliable, cost-efficient agents and applications, we see ourselves as accelerating the path from Jensen’s 5-layer cake to real business impact.

Qubrid AI is an open, inference-first AI infrastructure platform built for the next phase of AI adoption i.e. production-scale inference and enterprise applications. We enable developers and enterprises to deploy open-source models through a unified API and seamlessly scale from prototypes to dedicated GPU infrastructure and AI factories across cloud, hybrid, and on-prem environments.

By combining token-based inference, GPU orchestration, and full-stack AI into a unified platform, Qubrid helps enterprises develop AI-Native SaaS and Agentic applications for marketing, manufacturing, healthcare, finance and other verticals. With Qubrid, enterprises can start capturing value from AI today.

The magic happens when infrastructure, models, and applications don’t just exist - they work together seamlessly. That’s the promise Qubrid brings to life.

The Takeaway

Think of it this way: Jensen laid the foundation and built the layers beautifully. As a Full-Stack AI platform, Qubrid is the icing that blends it all together, letting organizations enjoy the full flavor of AI without worrying about the technical layers beneath.

#NVIDIAGTC hashtag#AIInference hashtag#GenAI hashtag#AIInfra hashtag#QubridAI

Company: https://qubrid.com

Platform Access: https://platform.qubrid.com/models